MA22210 Metric Spaces
Introductory description
This is a module bridging Y1 Analysis and Y2 Analysis modules. The concepts of convergence, continuity, convergence and compactness are studied in the more general setting. This enables development of multidimensional and infinitedimensional Analysis in consequent modules.
Module aims
The module introduces the notions of normed space, metric space and topological space. In this setting we introduce open sets and closed sets, and discuss their relationship to convergence and continuity. We will introduce the concepts of compactness and connectedness, how they relate to continuity. We also consider completeness. This material provides the bridge from analysis on the real line, as considered in earlier analysis modules, to a much more flexible and general framework. This is essential for many later modules in Years 3 and 4, particular pure mathematics modules involving analysis, geometry or topology.
Overall, this is an Analysis module, not a Topology module. The notion of topology is introduced but the focus is on the topologies, naturally occurring in Analysis. There will be no emphasis on topological spaces.
As the students are coming from different first year backgrounds, a special care will be taken at the start to build on the familiar concepts from the first year Analysis and Linear Algebra. Metric Spaces will be taught slightly differently with greater emphasis on examples.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
 Recap of Y1 material: properties of intervals in R and basic geometry in R^n
 Normed spaces: definitions, norms on R^n, spaces of linear operators, spaces of functions
 Metric spaces: norms as metrics, metric on subsets, open and closed sets, convergence, continuity, uniform convergence of functions and applications (interchange of limits)
 Topological spaces: basis, subbasis, closure, interior, boundary, product topology, Hausdorff property, continuity, homeomorphisms and topological properties, topologically equivalent metrics
 Connectedness: unions and products of connected sets, components, pathconnected spaces, connected subsets of R and R^n
 Compactness: HeineBorel Theorem, equivalence of all norms on R^n, continuous functions on compact sets (Extreme Value Theorem and uniform continuity), sequential compactness of metric spaces
 Completeness: R^n is complete, completion, Contraction Mapping Theorem, ArzelaAscoli Theorem, applications to existence of solutions of ODEs
Learning outcomes
By the end of the module, students should be able to:
 Demonstrate understanding of the basic concepts, theorems and calculations of Normed, Metric and Topological Spaces.
 Demonstrate understanding of the openset definition of continuity and its relation to previous notions of continuity, and applications to open or closed sets.
 Demonstrate understanding of the basic concepts, theorems and calculations of the concepts of Compactness, Connectedness and Completeness (CCC).
 Demonstrate understanding of the connections that arise between CCC, their relations under continuous maps, and simple applications.
Indicative reading list
 W A Sutherland, Introduction to Metric and Topological Spaces, OUP.
 E T Copson, Metric Spaces, CUP.
 W Rudin, Principles of Mathematical Analysis, McGraw Hill.
 G W Simmons, Introduction to Topology and Modern Analysis, McGraw Hill. (More advanced, although it starts at the beginning; helpful for several third year and MMath modules in analysis).
 A M Gleason, Fundamentals of Abstract Analysis, Jones and Bartlett.
Subject specific skills
Students will develop understanding of metric and topological spaces, and of convergence and continuity in these settings. They will be able to characterise convergence and continuity in terms of open sets. They will have a good knowledge of a variety of examples of metric spaces and be able to determine whether or not they are topologically equivalent. They will be familiar with topological spaces as a generalisation of metric spaces and understand the role of metrisability. They will understand the concept of compactness and how it is related to continuity. They will become familiar with the notion of connectedness and understand nontrivial examples. They will understand Cauchy sequences and completeness of metric spaces and understand how to construct the completion of a noncomplete space.
Transferable skills
The module deals with abstract mathematical concepts, where examples may be removed from students' normal intuition. Therefore, students who have successfully completed the module will have developed their skills in reasoning in an abstract setting, for example from a set of axioms. They will have the background to carry of further study in the area, and to apply the techniques they have learned to various areas of analysis, geometry and topology. More generally, they will have had the opportunity to develop their analytic skills through the study of complex and abstract systems.
Study time
Type  Required 

Lectures  20 sessions of 1 hour (20%) 
Tutorials  9 sessions of 1 hour (9%) 
Private study  71 hours (71%) 
Total  100 hours 
Private study description
71 hours to review lectured material and work on set exercises.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
Weighting  Study time  

Class tests  15%  
Online Examination  85%  

Assessment group R
Weighting  Study time  

Inperson Examination  Resit  100%  

Feedback on assessment
Marked assignments and exam feedback.
Courses
This module is Core for:
 Year 2 of UCSAG4G3 Undergraduate Discrete Mathematics

UMAAGV17 Undergraduate Mathematics and Philosophy
 Year 2 of GV17 Mathematics and Philosophy
 Year 2 of GV17 Mathematics and Philosophy
 Year 2 of GV17 Mathematics and Philosophy
 Year 2 of UMAAGV19 Undergraduate Mathematics and Philosophy with Specialism in Logic and Foundations

USTAGG14 Undergraduate Mathematics and Statistics (BSc)
 Year 2 of GG14 Mathematics and Statistics
 Year 2 of GG14 Mathematics and Statistics
This module is Option list A for:

USTAG302 Undergraduate Data Science
 Year 2 of G302 Data Science
 Year 2 of G302 Data Science
 Year 2 of UCSAG4G1 Undergraduate Discrete Mathematics

UPXAGF13 Undergraduate Mathematics and Physics (BSc)
 Year 2 of GF13 Mathematics and Physics
 Year 2 of GF13 Mathematics and Physics

UPXAFG31 Undergraduate Mathematics and Physics (MMathPhys)
 Year 2 of FG31 Mathematics and Physics (MMathPhys)
 Year 2 of FG31 Mathematics and Physics (MMathPhys)

USTAY602 Undergraduate Mathematics,Operational Research,Statistics and Economics
 Year 2 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 2 of Y602 Mathematics,Operational Research,Stats,Economics